Acquisition of lexical knowledge from corpus: the verbal subcategorization in French

被引：0

作者：

Messiant, Cedric ^{[1
,2
]}

Gabor, Kata ^{[3
]}

Poibeau, Thierry ^{[4
,5
]}

机构：

[1] CNRS, Lab Informat Paris Nord, UMR 7030, 99,Ave Jean Baptiste Clement, F-F93430 Villetaneuse, France

[2] Univ Paris 13, F-93430 Villetaneuse, France

[3] Hungarian Acad Sci, Dept Language Technol, Res Inst Linguist, Budapest, Hungary

[4] CNRS, Lab LaTTiCe, UMR 8094, F-92120 Montrouge, France

[5] Ecole Normale Super, F-92120 Montrouge, France

来源：

TRAITEMENT AUTOMATIQUE DES LANGUES | 2010年 / 51卷 / 01期

关键词：

lexicon; verb; subcategorization frames; lexical acquisition;

D O I：

暂无

中图分类号：

H0 [语言学];

学科分类号：

030303 ; 0501 ; 050102 ;

摘要：

We present in this paper a method to automatically acquire a syntactic lexicon of subcategorization frames for French verbs directly from large corpora. The method is evaluated against existing lexical resources: we show that our system is capable of producing new frames that were not previously registered. Lastly, we show that it is possible to induce lexico-semantic classes " a la Levin" (1993) from these data.

引用

页码：65 / 96

页数：32

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